Posture Control

Posture control research focuses on enabling robots and other systems to maintain balance and stability, particularly during dynamic movements and in challenging environments. Current research emphasizes developing robust control algorithms, often employing models like the spring-loaded inverted pendulum (SLIP) or reduced-order models, and incorporating bio-inspired approaches such as disturbance estimation and compensation. This work is significant for advancing robotics, particularly in areas like humanoid locomotion and minimally invasive surgery, as well as for providing insights into human motor control and balance mechanisms through comparative studies.